工业工程 ›› 2021, Vol. 24 ›› Issue (2): 155-165.doi: 10.3969/j.issn.1007-7375.2021.02.020

• 实践与应用 • 上一篇    

考虑网点共享与变更的多级快递网点选址问题

王冰怡1, 张锦1,2   

  1. 1. 西南交通大学 交通运输与物流学院;
    2. 综合运输智能化国家地方工程实验室,四川 成都 610031
  • 收稿日期:2020-01-20 发布日期:2021-04-25
  • 作者简介:王冰怡(1995-),女,河南省人,硕士研究生,主要研究方向为物流系统优化

A Multi-level Express Outlets Layout under Network Sharing and Change

WANG Bingyi1, ZHANG Jin1,2   

  1. 1. School of Transportation and Logistics;
    2. National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, China
  • Received:2020-01-20 Published:2021-04-25

摘要: 考虑客户需求多样化、物流网点共享化等实际问题,结合客户满意度和末端网点服务效率函数,构建考虑网点共享、末端网点服务模式及容量可变的多级快递网点选址多目标规划模型。针对模型特点,考虑网点模式及容量变更设计种群初始化流程,采用遗传算法求解,通过算例证明模型和算法的可行性与有效性。通过与考虑共享不考虑变更、考虑变更不考虑共享两种选址方式对比分析,考虑共享与变更的模型在系统总成本、客户满意度、网点服务效率等方面均更优。此外,实验结果表明,当成本权重超过一定值时,成本下降空间逐渐减小,且客户满意度与服务效率降低速度高于成本降低速度。

关键词: 多级设施选址, 网点共享, 服务模式, 满意度, 遗传算法

Abstract: Considering the diversification of customer demand, the sharing of logistics outlets and other practical problems, combined with customer satisfaction and the service efficiency function of terminal outlets, a double-level planning model of express outlet location considering the sharing of outlets, the service mode of terminal outlets and the variable capacity is constructed. According to the characteristics of the model, the genetic algorithm is adopted to solve the problem, and the initialization process of population is designed considering the node mode and capacity change. The feasibility and effectiveness of the model and algorithm are proved by an example. By comparing with the two location selection methods of considering sharing without considering change and considering change without considering share, the model considering both sharing and change is better in total system cost, customer satisfaction, network service efficiency, etc. In addition, the experimental results show that when the cost weight exceeds a certain value, the cost reduction space decreases gradually, and the speed of customer satisfaction and service efficiency decreases is faster than that of cost reduction.

Key words: multi-level facility layout, outlets sharing, service mode, satisfaction degree, genetic algorithm

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